Multi-objective recommendation system utilizing a multi-population knowledge migration framework by Liang Chu, Ye Tian

“…Nevertheless, existing multi-objective recommendation algorithms often exhibit poor performance on the hypervolume value (HV) metric and lack effective methods to enhance novelty within evolutionary strategies. …”
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Grading of Traffic Interruptions in Highways to Tibet Based on the Entropy Weight-TOPSIS Method and Fuzzy C-Means Clustering Algorithm by Jian Tian, Zhiqiang Li, Suyan Zhuang, Jianfeng Xi, Min Li

“…First, the entropy weight-TOPSIS method was used to mitigate dimensions among various indices and quantitatively evaluate the status values of traffic interruptions. Then, the fuzzy C-means clustering algorithm was employed to grade these values. …”
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IMPLEMENTATION OF MAPPING-BASED MACHINE LEARNING ALGORITHM AS NON-STRUCTURAL DISASTER MITIGATION TO DETECT LANDSLIDE SUSCEPTIBILITY IN TAKARI DISTRICT by Sefri Imanuel Fallo, Lidia Paskalia Nipu

“…Nevertheless, a meticulous examination of Kappa values disclosed the ascendancy of the Random Forest model, which achieved a superior Kappa value of 0.5397. …”
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Integrated OVMD-BiGRU-SMAC Framework for Forecasting Construction Accidents in the Kingdom of Saudi Arabia by Badr T. Alsulami, Afaq Khattak

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Optimizing a Hybrid Controller for Automotive Active Suspension System by Using Genetic Algorithms With Two High Level Parameters by Vu Van Tan, Do Trong Tu, Nguyen Van Vinh, Pham Tat Thang, Andras Mihaly, Peter Gaspar

“…Subsequently, the coefficients of the HASS are optimized through the Genetic Algorithm optimization with the parameter <inline-formula> <tex-math notation="LaTeX">$\beta =0.1,\,0.5,\,0.9$ </tex-math></inline-formula>, aiming to enhance ride comfort and road holding corresponding to each value of <inline-formula> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula>. …”
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Optimizing miRNA-module diagnostic biomarkers of gastric carcinoma via integrated network analysis. by Fengbin Zhang, Wenjuan Xu, Jun Liu, Xiaoyan Liu, Bingjie Huo, Bing Li, Zhong Wang

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Space alternating variational estimation based sparse Bayesian learning for complex‐value sparse signal recovery using adaptive Laplace priors by Zonglong Bai, Liming Shi, Jinwei Sun, Mads Græsbøll Christensen

“…Moreover, the space alternating approach is integrated into the algorithm to reduce the computational complexity of the proposed method. …”
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A multi-objective approach to load balancing in cloud environments integrating ACO and WWO techniques by Umesh Kumar Lilhore, Sarita Simaiya, Yogendra Narayan Prajapati, Anjani Kumar Rai, Ehab Seif Ghith, Mehdi Tlija, Tarik Lamoudan, Abdelaziz A. Abdelhamid

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Integrating Multi-Layer Perceptron Regression with Innovative Optimization for Accurate Building Cooling Load Prediction by Subhiya Zeynalli, Baharak Eslami

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Integrating system dynamics and machine learning for environmental impact analysis of building materials in the demolition process by Babatunde Oluwaseun Ajayi, Mayowa Emmanuel Bamisaye, Hugo Miguel Magalhães Macedo, Issara Sereewatthanawut

“…Therefore, a comprehensive analysis of these factors is crucial for mitigating environmental impact. This study integrates System Dynamics (SD) modeling with the Random Forest (RF) algorithm to analyze the relationships among key variables and assess the overall environmental impacts of different demolition tool combinations (OEIC1, OEIC2, OEIC3, and OEIC4). …”
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Biomarkers in glioblastoma and degenerative CNS diseases: defining new advances in clinical usefulness and therapeutic molecular target by Fan Bu, Jifa Zhong, Ruiqian Guan

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Shell and tube heat exchanger optimization: A critical literature assessment and fairness-based comparative performance analysis of meta-heuristic algorithms by Samet Gürgen

“…This study aimed to perform algorithm performance for STHE optimization by integrating a fair evaluation approach. …”
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Identification of biomarkers for Laryngeal squamous cell carcinoma through Mendelian randomization and integrated bioinformatics analysis by Pengjian Zhang, Weizhang Chen, Kai Chen, Yuanhang Ye, Weijun Wu

“…Methods This study integrated multi-omics data from multiple databases to comprehensively analyze the role of pan-apoptosis-related genes (PANRGs) in the prognosis of LSCC. …”
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Machine learning-based coalbed methane well production prediction and fracturing parameter optimization by HU Qiujia, LIU Chunchun, ZHANG Jianguo, CUI Xinrui, WANG Qian, WANG Qi, LI Jun, HE Shan

“…The model employs a random forest algorithm integrated with a multi-task learning strategy and utilizes a particle swarm optimization (PSO) algorithm to optimize fracturing parameters. …”
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An integrated framework for satellite-based flood mapping and socioeconomic risk analysis: A case of Thailand by Nutchapon Prasertsoong, Nattapong Puttanapong

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Integration of T cell repertoire, CyTOF, genotyping and symptomatology data reveals subphenotypic variability in COVID-19 patients by Fernando Marín-Benesiu, Lucia Chica-Redecillas, Sergio Cuenca-López, Carmen Entrala-Bernal, Sara Martín-Esteban, Maria Jesús Alvarez-Cubero, Luis Javier Martínez-González

“…This study highlights the value of integrating immunophenotyping and genetic profiling to identify novel immunological markers and patterns, aiding in the stratification and management of COVID-19 patients based on their immune profiles and genetic background.…”
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Low Contrast Enhancement Algorithm for Color Image Using Pythagorean Fuzzy Sets With a Fusion of CLAHE and BPDHE Methods by M. Manivasagan, S. Jagatheswari

“…This paper presents an algorithm that employs fuzzy techniques to enhance low-contrast images. …”
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Integrating Semantic Zoning Information with the Prediction of Road Link Speed Based on Taxi GPS Data by He Bing, Xu Zhifeng, Xu Yangjie, Hu Jinxing, Ma Zhanwu

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Voxelwise characterization of noise for a clinical photon-counting CT scanner with a model-based iterative reconstruction algorithm by Luigi Masturzo, Patrizio Barca, Luca De Masi, Daniela Marfisi, Antonio Traino, Filippo Cademartiri, Marco Giannelli

“…Water phantom acquisitions were also performed on a conventional energy-integrating detector (EID) scanner with a sinogram/image-based iterative reconstruction algorithm, using similar acquisition/reconstruction parameters. …”
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Optimizing droplet coalescence dynamics in microchannels: A comprehensive study using response surface methodology and machine learning algorithms by Seyed Morteza Javadpour, Erfan Kadivar, Zienab Heidary Zarneh, Ebrahim Kadivar, Mohammad Gheibi

“…Furthermore, we integrate Response Surface Methodology (RSM) to effectively optimize droplet coalescence dynamics, harnessing the power of machine learning algorithms. …”
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